Author Topic: Janus: A Python Package for Agent-Based Modeling of Land Use and Land Cover  (Read 37 times)

Pankaj Dey

  • Moderator
  • Team sea
  • *****
  • Karma: +113/-0
    • View Profile
  • Institute : Indian Institute of Science
  • Programming language : MATLAB, R
Janus is an open source Python package for agent-based modeling (ABM) of land use and land cover change (LULCC). Many ABMs of LULCC have been created across platforms, some of which are not ideal for large scale, high resolution scenarios. This model provides a simple object-oriented framework for creating ABMs specific to LULCC. The organizational philosophy of the modeling framework is to create software objects (agents) that are associated with specific and contextual attributes which are isolated from where those agents exist in the spatial setting of the model, and still provide clear linkages between the agent, their environment, and other agents in the simulation. In this way, the framework allows for assembly of LULCC ABMs with low (programmatic) overhead, making the models extensible and providing clear mechanisms for integrating them with process-oriented biophysical models. Provided with Janus is a suite of geospatial data preprocessing tools that can use arbitrary land cover products as an input. Crop choice decisions are based on potential crop prices, these can be created synthetically, or drawn from integrated human-Earth systems models such as the Global Change Assessment Model. Janus is publicly accessible through GitHub and provides an example dataset for testing.
Code repository: https://github.com/LEAF-BoiseState/janus/tree/v1.0.0
Link to paper: http://doi.org/10.5334/jors.306
Pankaj